2008
DOI: 10.1111/j.1365-2966.2008.13180.x
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zobov: a parameter-free void-finding algorithm

Abstract: zobov (ZOnes Bordering On Voidness) is an algorithm that finds density depressions in a set of points, without any free parameters, or assumptions about shape. It uses the Voronoi tessellation to estimate densities, which it uses to find both voids and subvoids. It also measures probabilities that each void or subvoid arises from Poisson fluctuations. This paper describes the zobov algorithm, and the results from its application to the dark matter particles in a region of the Millennium simulation. Additionall… Show more

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Cited by 345 publications
(443 citation statements)
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“…It is part of the third generation of the SDSS (SDSS-III; Eisenstein et al 2011). We here briefly describe the void catalogue, based on the watershed and point-sample-based void finder ZOBOV (Neyrinck 2008). Greater detail can be found in Mao et al (2016).…”
Section: The Cmass Void Samplementioning
confidence: 99%
See 1 more Smart Citation
“…It is part of the third generation of the SDSS (SDSS-III; Eisenstein et al 2011). We here briefly describe the void catalogue, based on the watershed and point-sample-based void finder ZOBOV (Neyrinck 2008). Greater detail can be found in Mao et al (2016).…”
Section: The Cmass Void Samplementioning
confidence: 99%
“…at around the 2σ level (Ilić et al 2013;Cai et al 2014;Planck Collaboration XIX 2014), or a null detection . All of these studies used the ZOBOV algorithm (Neyrinck, Gnedin & Hamilton 2005;Neyrinck 2008) to find voids. The variety of results reported by different groups is largely due to the differences in the way void catalogues are pruned.…”
Section: Introductionmentioning
confidence: 99%
“…More sophisticated algorithms find voids without making any assumption about their shape (e.g. Platen et al 2007;Neyrinck 2008). In the Local Universe, typical sizes of voids in the galaxy distribution vary from around 6 Mpc to more than 20 Mpc, in a galaxy survey like SDSS (e.g.…”
Section: Galaxy Population In Voidsmentioning
confidence: 99%
“…This is the criterion that we use to locate voids in the Lagrangian coordinates. We test our void finders using the catalogue of DM haloes extracted from a high-resolution N-body simulation (Baldi 2012) at z = 0, and compare our results with those obtained when we use the ZOBOV void finder (Neyrinck 2008). The quantitative comparison focuses on voids' statistics, as well as on physical properties such as their mass density profile and ellipticities.…”
Section: Introductionmentioning
confidence: 99%
“…The accuracy of the AP test has been discussed in comparison to that of other cosmological tests by . The first application of the method by Sutter et al (2012) considered voids extracted from the SDSS DR-7 galaxy survey (Abazajian et al 2009) using a modified version of the ZOnes Bordering On Voidness (ZOBOV) algorithm (Neyrinck 2008). With 10 stacked voids detected out to z = 0.36 they failed to detect any significant distortions.…”
Section: Introductionmentioning
confidence: 99%